This website provides interactive results for the forecasting models explored in the paper Estimating Neighborhood Asking Rents using Scraped Craigslist Rental Listings.
The goal of this research is to a.) understand the temporal dynamics of rent estimates in Seattle and b.) forecast the current quarter’s rent levels based off of the prior periods. Throughout the following analyses, the training data are 2017 Q2 up to the prior quarter (i.e. 2018 Q1). The test period is a forecast for the current period and includes comparison to the appropriate median rent estimates for data observed so far in this period.
Most graphics include some level of interactivity, usually either hover-over tooltip information or a slider to control various views of the graphic. Clicking on cases will highlight data elements in most graphics, and double-clicking will reset the graphic. You can download the source code and data for this project from Github here
Contact Chris Hess at hesscl@uw.edu for more information about this research.
This page was last updated: 2018-05-22
Table of Contents
| train_test | int_rmse | ns_rmse | nsar1_rmse | bym_rmse | spt_rmse |
|---|---|---|---|---|---|
| Test | 307.0736 | 214.1802 | 206.5359 | 206.2086 | 198.43768 |
| Training | 324.3490 | 136.1696 | 136.9117 | 138.2681 | 80.40442 |
| train_test | int_mae | ns_mae | nsar1_mae | bym_mae | spt_mae |
|---|---|---|---|---|---|
| Test | 248.1144 | 160.51160 | 149.92773 | 155.44370 | 144.65180 |
| Training | 258.1041 | 89.43893 | 90.29539 | 92.75499 | 53.99899 |
| int_DIC | ns_DIC | nsar1_DIC | bym_DIC | spt_DIC |
|---|---|---|---|---|
| -168.1242 | -679.9016 | -679.7958 | -685.7149 | -807.2537 |